Publication: An Image-Based Vocabulary Learning System Based on Multi-Agent System
1
0
Issued Date
2019
Resource Type
File Type
application/pdf
Other identifier(s)
2-s2.0-85074222613
Rights Holder(s)
Scopus
Bibliographic Citation
JCSSE 2019 - 16th International Joint Conference on Computer Science and Software Engineering: Knowledge Evolution Towards Singularity of Man-Machine Intelligence. (2019), p.324-329
Suggested Citation
Tangworakitthaworn P., Owatsuwan P., Nongyai N., Arayapong N. An Image-Based Vocabulary Learning System Based on Multi-Agent System. JCSSE 2019 - 16th International Joint Conference on Computer Science and Software Engineering: Knowledge Evolution Towards Singularity of Man-Machine Intelligence. (2019), p.324-329. doi:10.1109/JCSSE.2019.8864170 Retrieved from: https://hdl.handle.net/20.500.14740/5264
Abstract
Promoting and developing English language skills are essential for second language learners. This paper presents the design and development of a mobile application for promoting learners' experiences in learning the English vocabularies by formulating the compound words generated from images. The proposed system is based on the multi-Agent system (MAS) covering three main agents: matching learners agent, combination vocabulary agent, and feedback agent. The innovation of the proposed approach is that many learners (matching learners agent) can formulate the new vocabulary that is formed from the combination algorithm (combination vocabulary agent) and learners can experience new vocabulary represented by using the image results (feedback agent). The two experiments of the system performance evaluation are reported. The experimental results show that the performance of the vocabularies' detection and the sub processes execution were achieved the high accuracy. © 2019 IEEE.
Subject(s)
Engineering education
Image enhancement
Image processing
Intelligent agents
Multi agent systems
Object detection
Ontology
Design and Development
English languages
Mobile applications
Second language learners
System performance evaluation
Technology enhanced learning
Vocabulary learning
Wordnet
Learning systems
Image enhancement
Image processing
Intelligent agents
Multi agent systems
Object detection
Ontology
Design and Development
English languages
Mobile applications
Second language learners
System performance evaluation
Technology enhanced learning
Vocabulary learning
Wordnet
Learning systems